{"id":"W2591555204","doi":"10.1111/1365-2435.12847","title":"Using a forest dynamics model to link community assembly processes and traits structure","year":2017,"lang":"en","type":"article","venue":"Functional Ecology","topic":"Ecology and Vegetation Dynamics Studies","field":"Environmental Science","cited_by":28,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Ministère de l'Education Nationale, de l'Enseignement Superieur et de la Recherche; Agence Nationale de la Recherche; McGill University","keywords":"Trait; Ecology; Competition (biology); Niche; Forest dynamics; Community structure; Convergence (economics); Environmental gradient; Species richness; Biology; Productivity; Divergence (linguistics); Environmental change; Tree (set theory); Climate change; Computer science; Economics; Mathematics; Habitat","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008321655,0.0005429009,0.0006206923,0.000640119,0.0006006297,0.0009553991,0.001147488,0.001150435,0.00234306],"category_scores_gemma":[0.002098472,0.000364421,0.001079547,0.0005399835,0.0006357084,0.00107762,0.0008784842,0.0008276504,0.0002259685],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001010792,"about_ca_system_score_gemma":0.0008553976,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02568017,"about_ca_topic_score_gemma":0.0163818,"domain_scores_codex":[0.9997805,0.00009104579,0.00000871282,0.00005697956,0.00001701866,0.00004577127],"domain_scores_gemma":[0.9988159,0.0007082789,0.0001923045,0.00005803006,0.00009916838,0.0001262999],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00004228472,0.00003230419,0.006108467,0.00001943068,0.00004095004,0.00006813376,0.00004706278,0.9861713,0.0005652418,0.005281623,0.00014323,0.00147992],"study_design_scores_gemma":[0.000008323674,0.000011618,0.0006321155,0.000002312936,0.000006590222,0.000008798437,0.00001154274,0.9973547,0.0000228502,0.001835335,0.0001023557,0.000003540237],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8654214,0.000312906,0.1294927,0.0003267072,0.00004173445,0.00004749621,0.0005778293,0.0001559686,0.003623261],"genre_scores_gemma":[0.9874537,0.0001118135,0.01037166,0.0000435325,0.00001882167,0.00009919632,0.0002204384,0.00003758151,0.001643134],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02568017,"threshold_uncertainty_score":0.05106139,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04390270830289916,"score_gpt":0.2811081698375267,"score_spread":0.2372054615346276,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}